"Research papers and studies on artificial intelligence" matching MCP servers:

A template for deploying an MCP server on Vercel, with example tools like roll_dice and get_weather.

Enables AI assistants to interact with Databricks workspaces, running SQL queries, managing jobs, and exploring schemas via the Model Context Protocol.

Orchestrates distributed research drones on Google Cloud Run, enabling scalable and bidirectional research task management.

MCP server deployed on EdgeOne Pages, providing a Streamable HTTP MCP server for intelligent chat applications with tool capabilities like generating webpages.

Provides a modular MCP server to integrate with IBM Data Intelligence services, enabling secure interaction with data intelligence capabilities via tools and skills.

Provides secure integration between MCP clients and IBM Data Intelligence services, enabling AI assistants to interact with IBM's data intelligence capabilities for data management and analytics operations.

A deployment template for running Model Context Protocol servers as Vercel Functions. It provides a foundation for developers to build and host custom tools, prompts, and resources with optimized execution for MCP client integration.

Enables Codex and other agents to discover live AutoDL GPU stock, produce cost- and time-optimized rental plans with human review, and manage approved Elastic/Pro deployments through the official API.

Enables declarative FDTD validation, guarded cloud-task workflows, and normalization of Tidy3D simulation results into metadata and bounded CSV observables, while keeping credentials and cloud-execution privileges isolated.

Stateless Streamable HTTP MCP endpoint with OAuth 2.1 authentication via Cloudflare Workers, supporting PKCE, DCR, and token introspection.

Enables interaction with Google Cloud services including billing cost analysis, log querying, and metrics monitoring through natural language commands. Provides comprehensive tools for managing GCP resources, analyzing costs, detecting anomalies, and retrieving operational insights.

Enables AI assistants to analyze Azure Data Factory costs, detect waste, and provide optimization recommendations by querying pipeline run metadata and Azure pricing.

Connects an LLM to your fleet of clusters via ACM or Multicluster Global Hub, enabling queries about fleet health, unhealthy clusters, and detailed cluster conditions.

A deployable MCP server for Cloudflare Workers or Azure Functions that provides example tools (time, echo, math), prompt templates for code assistance, and configuration resources. Enables AI assistants to interact with edge-deployed services through the Model Context Protocol.

A server that enables Model Context Protocol (MCP) functionality on Cloudflare Workers with OAuth login, allowing applications like Claude Desktop to access custom tools through a standardized interface.

Enables deploying and connecting to MCP servers on Cloudflare Workers with OAuth login, allowing remote access to tools via MCP clients like Claude Desktop.

A FastMCP-based server that provides tools for retrieving animal species lists and specific animal details from a fictional zoo. It serves as a reference for deploying and securing Model Context Protocol servers on Google Cloud Run.

Enables management of GCP resources and integration with AI development tools via a stateless MCP server hosted on Cloud Run.

Enables deployment of an MCP server on Cloudflare Workers with OAuth login, allowing remote invocation of tools like math operations from MCP clients.

A deployable Model Context Protocol server that runs on Cloudflare Workers without requiring authentication, allowing users to create custom AI tools and connect them to clients like Claude Desktop and Cloudflare AI Playground.